Jobs at Enova

Positions 3,331

Enova is a fast‑growing fintech that leverages AI to streamline consumer lending. The company has built a reputation for data‑driven product design and a culture that rewards innovation.

Hiring at Enova focuses on software engineers, data scientists, product managers, and UX designers. Candidates can expect rigorous technical interviews, a collaborative remote‑first environment, and a clear pathway for career advancement.

Job Transparency gives you instant access to Enova’s advertised salaries and employee sentiment, letting you compare offers and negotiate with confidence.

Customer Service Representative (Remote)

Company: Enova

Location: Chicago IL

Posted Aug 11, 2022

Enova is hiring Customer Service Representatives to provide superior customer service and a positive experience to customers. The role involves answering inbound calls, handling customer inquiries, and educating customers on products and services. The company values diversity and inclusion and seeks to recruit talented people from a diverse candidate pool.

Senior Data Engineer (Remote)

Company: Enova

Location: Chicago IL

Posted Aug 11, 2022

The job posting is for a Data Engineer position at Enova, a financial technology company. The role involves supporting data needs, leading technical initiatives, and collaborating with teams. The company values diversity and inclusion and provides equal employment opportunities.

Frequently Asked Questions

What is it like to work at Enova?
Enova prioritizes a flat hierarchy, frequent cross‑team hackathons, and a generous equity program. Employees report high autonomy and a strong emphasis on continuous learning.
What types of positions are available at Enova?
Enova’s open roles span software engineering (backend, frontend, full stack), data science & analytics, product management, UX/UI design, DevOps, and technical support. Recent hires have focused on AI engineering and cloud architecture.
How can I stand out as a candidate for Enova?
Showcase hands‑on projects that demonstrate machine‑learning model deployment or scalable microservices. Highlight contributions to open‑source, publish technical blogs, and prepare for scenario‑based interviews that test problem‑solving under real‑world constraints.

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